/external/tensorflow/tensorflow/python/data/experimental/kernel_tests/serialization/ |
D | parallel_map_dataset_serialization_test.py | 51 def _map_fn(x, y, z): function 55 _map_fn, num_parallel_calls=3).repeat(self._num_epochs)) 62 def _map_fn(x, y, z): function 66 _map_fn, num_parallel_calls=3).repeat(self._num_epochs).prefetch(5)) 77 def _map_fn(x): function 82 _map_fn, num_parallel_calls=2).prefetch(2)
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D | map_and_batch_dataset_serialization_test.py | 50 def _map_fn(x): function 56 map_func=_map_fn, 76 def _map_fn(x): function 82 map_func=_map_fn,
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D | map_dataset_serialization_test.py | 52 def _map_fn(x, y, z): function 56 dataset_ops.Dataset.from_tensor_slices(components).map(_map_fn) 68 def _map_fn(x): function 72 return dataset_ops.Dataset.range(100).map(_map_fn)
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D | interleave_dataset_serialization_test.py | 65 def _map_fn(i): function 74 return dataset_ops.Dataset.range(10).map(_map_fn).interleave(
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D | filter_dataset_serialization_test.py | 59 def _map_fn(i): function 66 return dataset_ops.Dataset.range(10).map(_map_fn).filter(_filter_fn).map(
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D | parallel_interleave_dataset_serialization_test.py | 90 def _map_fn(i): function 99 return dataset_ops.Dataset.range(10).map(_map_fn).apply(
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D | flat_map_dataset_serialization_test.py | 118 def _map_fn(i): function 127 return dataset_ops.Dataset.range(10).map(_map_fn).flat_map(_flat_map_fn)
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/external/tensorflow/tensorflow/python/data/kernel_tests/ |
D | flat_map_test.py | 117 def _map_fn(i): function 125 dataset = dataset_ops.Dataset.range(10).map(_map_fn).flat_map(_flat_map_fn) 134 def _map_fn(i): function 145 dataset = dataset_ops.Dataset.range(10).map(_map_fn).flat_map(_flat_map_fn) 157 def _map_fn(i): function 164 dataset = dataset_ops.Dataset.range(10).map(_map_fn).flat_map(_flat_map_fn)
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D | filter_test.py | 64 def _map_fn(x, y, z): function 69 _map_fn).repeat(count) 128 def _map_fn(i): function 137 dataset = dataset_ops.Dataset.range(10).map(_map_fn) 141 dataset, expected_output=[_map_fn(i * 2)[0] for i in range(5)])
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D | map_test.py | 166 def _map_fn(x, y, z): function 170 dataset = apply_map(dataset, _map_fn).repeat(count) 233 def _map_fn(x, y, z): function 237 dataset = apply_map(dataset, _map_fn, num_parallel_calls=num_parallel_calls) 397 def _map_fn(x): function 401 return apply_map(dataset_ops.Dataset.range(10), _map_fn) 741 def _map_fn(x): function 751 dataset = apply_map(dataset, _map_fn).prefetch(buffer_size) 777 def _map_fn(x_tensor): function 784 dataset = apply_map(dataset, _map_fn) [all …]
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D | iterator_cluster_test.py | 166 def _map_fn(x, y, z): function 170 dataset_ops.Dataset.from_tensor_slices(components).map(_map_fn)
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D | batch_test.py | 68 def _map_fn(x, y, z): function 72 _map_fn).repeat(count).batch(batch_size, drop_remainder,
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D | iterator_test.py | 86 def _map_fn(x, y, z): function 90 dataset_ops.Dataset.from_tensor_slices(components).map(_map_fn) 113 def _map_fn(x, y, z): function 118 .map(_map_fn).repeat(14)) 141 def _map_fn(x, y, z): function 146 .map(_map_fn).repeat(14))
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D | window_test.py | 58 def _map_fn(x, y, z): function 67 _map_fn).repeat(count).window(
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D | interleave_test.py | 234 def _map_fn(i): function 242 dataset = dataset_ops.Dataset.range(10).map(_map_fn).interleave(
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/external/tensorflow/tensorflow/python/data/experimental/kernel_tests/ |
D | group_by_window_test.py | 57 def _map_fn(v): function 62 math_ops.range(32)).map(_map_fn) 87 def _map_fn(v): function 92 math_ops.range(64)).map(_map_fn) 140 def _map_fn(v): function 158 128)).map(_map_fn).filter(lambda d: math_ops.equal(d["x"] % 2, 0))
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D | map_and_batch_test.py | 60 def _map_fn(x, y, z): function 67 map_func=_map_fn, 266 def _map_fn(x, y, z): function 270 1000).apply(batching.map_and_batch(_map_fn, batch_size=100))
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D | parallel_interleave_test.py | 566 def _map_fn(i): function 574 dataset = dataset_ops.Dataset.range(10).map(_map_fn).apply(
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/external/tensorflow/tensorflow/python/ops/parallel_for/ |
D | pfor.py | 3744 def _map_fn(i): function 3751 output = map_fn.map_fn(_map_fn, pfor_input.pfor.all_indices) 3912 def _map_fn(i): function 3920 output = map_fn.map_fn(_map_fn, pfor_input.pfor.all_indices)
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